## Modèles d'apprentissage automatique avec spaCy et FastAPI - Fonctionnalités

* Intégration d'un modèle NER **spaCy**.
* Formatage de requête pour **Azure Cognitive Search**.
* Serveur Python web **prêt à utiliser en production** utilisant Uvicorn et Gunicorn.
* Déploiement CI/CD Kubernetes pour **Azure DevOps** (AKS).

    private CharMappingService charMappingService;

    /**
     * Retrieve list of character mapping entries for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param body search criteria and paging parameters
     * @return JSON response containing list of mapping entries
     */
    // GET /api/admin/dict/mapping/settings/{dictId}
    @Execute

import io.restassured.response.Response;

public class CrawlTestBase extends ITBase {
    private static final Logger logger = LogManager.getLogger(CrawlTestBase.class);

    private static final String DOC_INDEX_NAME = "fess.search";

    protected static void createJob(final Map<String, Object> requestBody) {
        checkMethodBase(requestBody).post("/api/admin/scheduler/setting")
                .then()

   * {@link #columnKeySet()}, an empty immutable map is returned.
   *
   * <p>Otherwise, for each row key in {@link #rowKeySet()}, the returned map associates the row key
   * with the corresponding value in the table. Changes to the returned map will update the
   * underlying table, and vice versa.
   *
   * @param columnKey key of column to search for in the table
   * @return the corresponding map from row keys to values
   */
  @Override

 * Google search:
 *
 * ```java
 * HttpUrl url = new HttpUrl.Builder()
 *     .scheme("https")
 *     .host("www.google.com")
 *     .addPathSegment("search")
 *     .addQueryParameter("q", "polar bears")
 *     .build();
 * System.out.println(url);
 * ```
 *
 * which prints:
 *
 * ```
 * https://www.google.com/search?q=polar%20bears
 * ```
 *

///

Das Einzige, was die von `GzipRequest.get_route_handler` zurückgegebene Funktion anders macht, ist die Konvertierung von `Request` in ein `GzipRequest`.

Dabei kümmert sich unser `GzipRequest` um die Dekomprimierung der Daten (falls erforderlich), bevor diese an unsere *Pfadoperationen* weitergegeben werden.

            });
        });
        return asJson(new ApiResponse().status(Status.OK).result());
    }

    /**
     * Retrieves scheduler settings with pagination.
     *
     * @param body the search parameters for filtering and pagination
     * @return JSON response containing scheduler settings list
     */
    // GET /api/admin/scheduler
    // PUT /api/admin/scheduler
    @Execute

    public synchronized void deleteAllAccessResultMap() {
        sessionMap.clear();
    }

    /**
     * Returns a list of access results for the specified URL across all sessions.
     * @param url the URL to search for
     * @return the list of access results for the URL
     */
    public synchronized List<AccessResultImpl<Long>> getAccessResultList(final String url) {

 */
package org.codelibs.fess.entity;

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.aggregations.BucketOrder;

public class FacetInfoTest extends UnitFessTestCase {

    private FacetInfo facetInfo;

    @Override
    public void setUp() throws Exception {
        super.setUp();

import org.opensearch.common.xcontent.XContentType;
import org.opensearch.core.xcontent.MediaType;
import org.opensearch.core.xcontent.ToXContent;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.search.SearchHit;

public class SearchEngineUtilTest extends UnitFessTestCase {

    public void test_getXContentBuilderOutputStream_success() {
        XContentBuilderCallback callback = (builder, params) -> {